Architecture of a knowledge-based system for remote sensor data analysis

Authors:
Wolf-Fritz Riekert;Oliver Gunther;Gunter Hess
Affiliations:
FAW, Research Institute for Applied Knowledge Processing, P.O.-Box 2060, D-7900 Ulm, West Germany and Siemens AG, DIV 3824, P.O. Box 830951, D-8000 Munich, West Germany;FAW, Research Institute for Applied Knowledge Processing, P.O.-Box 2060, D-7900 Ulm, West Germany;FAW, Research Institute for Applied Knowledge Processing, P.O.-Box 2060, D-7900 Ulm, West Germany
Venue:
IEA/AIE '90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
Year:
1990

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Abstract

This paper describes the current status of the project RESEDA, which stands for REmote SEnsor Data Analysis. The main objective of RESEDA is the development of a knowledge-based system for the extraction of environmental information from digital raster images of the earth, obtained from airborne or spaceborne sensors. The project is designed to satisfy user demands for standardization and for improvement of image-processing results by means of ancillary data. The project, which is funded by Siemens and by the Federal State of Baden-Württemberg, is conducted by the FAW (the Research Institute for Applied Knowledge Processing) in Ulm, West Germany.